Genetic mapping of Sorghum bicolor (L.) Moench QTLs that control variation in tillering and other morphological characters

Hart, G. E.; Schertz, K. F.; Peng, Yong; Syed, Naeem H.

doi:10.1007/s001220100582

Cited by 140 publications

(165 citation statements)

References 22 publications

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“…Because segmentation-dependent traits represent organ-level traits that are often manually measured, QTLs identified via the image-based platform for organ-level traits were compared with QTLs identified previously for similar traits in the BTx623 3 IS3620C population and previous reports on the sorghum dwarfing loci Dw2 and Dw3 (Hart et al, 2001;Feltus et al, 2006;Brown et al, 2008;Mace and Jordan, 2011;Morris et al, 2013;Higgins et al, 2014). Most organlevel QTL intervals found in this study overlap with comparable or related traits from previous field studies (Table II).…”

Section: Genetic Bases Of Imaged Traitsmentioning

confidence: 57%

“…Comparison of QTL intervals identified using image-based phenotyping with previously reported QTL intervals in the literature Most QTL intervals identified with the platform overlapped with QTLs or causal genes reported previously for related phenotypes (Hart et al, 2001;Feltus et al, 2006;Mace and Jordan, 2011;Morris et al, 2013;Higgins et al, 2014). Dw3 was cloned previously (Multani et al, 2003).…”

Section: Discussionmentioning

confidence: 89%

“…To compare QTLs found in this study with existing QTLs in the literature, the physical coordinates relative to the sorghum version 1 reference assembly, Sbi1, for QTLs in the BTx623 3 IS3620C population were obtained; Mace and Jordan (2011) determined these physical coordinates using a consensus map and QTLs identified by Hart et al (2001) and Feltus et al (2006). The coordinates of Dw2 and Dw3 were obtained from Morris et al (2013) and Multani et al (2003).…”

Section: Qtl Mapping and Comparison With Prior Qtl Studies From The Lmentioning

confidence: 99%

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3D sorghum reconstructions from depth images identify QTL regulating shoot architecture

2016

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Dissecting the genetic basis of complex traits is aided by frequent and nondestructive measurements. Advances in range imaging technologies enable the rapid acquisition of three-dimensional (3D) data from an imaged scene. A depth camera was used to acquire images of sorghum (Sorghum bicolor), an important grain, forage, and bioenergy crop, at multiple developmental time points from a greenhouse-grown recombinant inbred line population. A semiautomated software pipeline was developed and used to generate segmented, 3D plant reconstructions from the images. Automated measurements made from 3D plant reconstructions identified quantitative trait loci for standard measures of shoot architecture, such as shoot height, leaf angle, and leaf length, and for novel composite traits, such as shoot compactness. The phenotypic variability associated with some of the quantitative trait loci displayed differences in temporal prevalence; for example, alleles closely linked with the sorghum Dwarf3 gene, an auxin transporter and pleiotropic regulator of both leaf inclination angle and shoot height, influence leaf angle prior to an effect on shoot height. Furthermore, variability in composite phenotypes that measure overall shoot architecture, such as shoot compactness, is regulated by loci underlying component phenotypes like leaf angle. As such, depth imaging is an economical and rapid method to acquire shoot architecture phenotypes in agriculturally important plants like sorghum to study the genetic basis of complex traits.

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Section: Genetic Bases Of Imaged Traitsmentioning

confidence: 57%

Section: Discussionmentioning

confidence: 89%

Section: Qtl Mapping and Comparison With Prior Qtl Studies From The Lmentioning

confidence: 99%

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3D sorghum reconstructions from depth images identify QTL regulating shoot architecture

2016

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“…Sorghum bicolor contains both cultivated and wild relative races, and it provides a substantial amount of genetic diversity for traits of agronomic importance so as to develop the crop's different variety of interest for plant breeders [9].…”

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confidence: 99%

Genetic diversity study of sorghum (Sorghum bicolor (L.) Moenc) genotypes, Ethiopia

Tesfaye

2017

Acta Universitatis Sapientiae, Agriculture and Environment

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Abstract. Sorghum bicolor is one of the most important cereal crops around the world, particularly in Africa, highly cultivated for dietary staple. For this reason, a good knowledge and usage of this genetic resource in sorghum accessions is highly vital for improving crop quality. Analysis of genetic variability among the accessions will enable accurate results in breeding. The research design used was augmented design, which is common in many gene banks. This research finding would be used later by plant breeders to select best performers for further evaluation of the crop and obtain a new variety of sorghum.

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“…Esses estudos tiveram como objetivo a investigação de características quantitativas importantes, tais como altura (Lin et al, 1995;Pereira and Lee, 1995;Brown et al, 2008), maturidade (Crasta et al, 1999;Chantereau et al, 2001;Hart et al, 2001;Feltus et al, 2006), tolerância ao estresse hídrico (Tuinstra et al, 1996;Crasta et al, 1999;Subudhi et al, 2000;Tao et al, 2000;Xu et al, 2000;Kebede et al, 2001;Harris et al, 2007), tolerância ao alumínio (Magalhaes et al, 2004), restauração da fertilidade (Klein et al, 2001;Jordan et al, 2010) e resistência a doenças e pragas (Tao et al, 2003). Com base nesses e outros trabalhos, Mace and Jordan (2010) reuniram um grupo de 35 genes de maior efeito com o objetivo de posicioná-los conjuntamente em um mapa genético consenso.…”

Section: Alguns Genes De Importânciaunclassified

Análise da estrutura populacional e do desequilíbrio de ligação de um painel de acessos de sorgo: uma abordagem usando teoria da coalescência

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Genetic mapping of Sorghum bicolor (L.) Moench QTLs that control variation in tillering and other morphological characters

Cited by 140 publications

References 22 publications

3D sorghum reconstructions from depth images identify QTL regulating shoot architecture

3D sorghum reconstructions from depth images identify QTL regulating shoot architecture

Genetic diversity study of sorghum (Sorghum bicolor (L.) Moenc) genotypes, Ethiopia

Análise da estrutura populacional e do desequilíbrio de ligação de um painel de acessos de sorgo: uma abordagem usando teoria da coalescência

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